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Knoesis Knowledge Graph (KKG)  
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Knoesis Knowledge Graph Platform (KKGP), Personalized Health Knowledge Graph (PHKG)
 
== Description ==
 
== Description ==
 
In recent years, knowledge graphs (KGs) have been increasingly used by both academia and industry to incorporate semantics into various intelligent applications. However, the creation of these knowledge graphs are mainly done manually with the help of domain experts and/or by using structured knowledge sources such as Wikipedia. Kno.e.sis Knowledge Graph team works on different aspects to improve creation and consumption of knowledge graphs as given below:
 
In recent years, knowledge graphs (KGs) have been increasingly used by both academia and industry to incorporate semantics into various intelligent applications. However, the creation of these knowledge graphs are mainly done manually with the help of domain experts and/or by using structured knowledge sources such as Wikipedia. Kno.e.sis Knowledge Graph team works on different aspects to improve creation and consumption of knowledge graphs as given below:
Line 14: Line 14:
 
* Semantic interoperability with a focus on ontologies
 
* Semantic interoperability with a focus on ontologies
  
 +
[[File:CKG.png|700px|center]]
  
−
== Event Organisation ==
+
== Introduction to Knowledge Graphs (KG) ==
−
* [http://wiki.knoesis.org/index.php/CKG2018 Contextualized Knowledge Graphs (CKG) Workshop] co-located with International Semantic Web Conference (ISWC 2018)  
+
 
−
* [http://wiki.knoesis.org/index.php/KE4WoTChallengeWWW2018 Knowledge Extraction for the Web of Things (KE4WoT) Challenge] co-located with The Web Conference 2018 (WWW 2018)
+
[https://coggle.it/diagram/W0PHnq_5PV00kuQd/t/knowledge-graph-kg-sota The latest version can be seen here, and you can easily contribute to this Mindmap :)]
 +
 
 +
[[File:Knowledge_Graph_KG_SOTA.png|1200px|thumb|center| Knowledge Graphs are extensively used (Screenshot June 2019)]]
 +
 
 +
== Using Knowledge Graphs (KG) for information processing ==
 +
 
 +
=== Knowledge Extraction ===
 +
* PhD Thesis: [https://etd.ohiolink.edu/!etd.send_file?accession=wright1527202092744638&disposition=inline Domain-specific Knowledge Extraction from the Web of Data] [Sarasi Lalithsena March 2018]
 +
 
 +
<center>
 +
{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=5uK_RsSGhvw&feature=youtu.be|500|}}
 +
</center>
 +
 
 +
* PhD Thesis: [http://knoesis.org/sites/default/files/Sujan_Dissertation.pdf Knowledge-driven implicit information extraction] [Sujan Perera 2016]
 +
 
 +
<center>
 +
{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=pbjJ1zb8ayY&feature=youtu.be|500|}}
 +
</center>
 +
 
 +
=== Knowledge Extraction from ontologies ===
 +
 
 +
[http://knoesis.org/node/2939 Automatic Knowledge Extraction to build Semantic Web of Things Applications]
 +
* Mahda Noura, Amelie Gyrard, Sebastian Heil, Martin Gaedke.
 +
* IEEE Internet of Things (IoT) Journal 2019.
 +
* Impact factor: 5.863 in 2019
 +
 
 +
[http://knoesis.org/node/2913 Concept Extraction from Web of Things Knowledge Bases]
 +
* Mahda Noura, Amelie Gyrard, Sebastian Heil, and Martin Gaedke.
 +
* International Conference WWW/Internet, 2018
 +
* Outstanding Paper Award
 +
 
 +
[http://wiki.knoesis.org/index.php/KE4WoTChallengeWWW2018 Knowledge Extraction for the Web of Things (KE4WoT) Challenge]
 +
* Co-located with International World Wide Web Conference (WWW) 2018
 +
* Amelie Gyrard, Mihaela Juganaru-Mathieu, Manas Gaur, Swati Padhee, Amit Sheth
 +
 
 +
<center>
 +
{{#widget:SlideShare|id=95709648&doc=ke4wotchallengewww2018v4-180502145714|width=500|border=0}}
 +
</center>
 +
 
 +
=== Knowledge Graph Summarization ===
 +
 
 +
* PhD Thesis: [http://knoesis.org/sites/default/files/Semantics-based%20Summarization%20of%20Entities%20in%20Knowledge%20Graphs.pdf Semantics-based summarization of entities in Knowledge Graphs] [Kalpa Gunaratna 2017]
 +
 
 +
<center>
 +
{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=1W_Td2L30Yc&feature=youtu.be|500|}}
 +
</center>
 +
 
 +
=== Contextualized Knowledge Graphs ===
 +
 
 +
* PhD Thesis: [http://www.knoesis.org/sites/default/files/VinhNguyen_dissertation.pdf Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs] [Vinh Nguyen 2017]
 +
 
 +
Vinh Nguyen PhD Slides:
 +
<center>
 +
{{#widget:SlideShare|id=86296911&doc=dissertationdefensedec152017-180117171107|width=500|border=0}}
 +
</center>
 +
 
 +
Vinh Nguyen PhD Video:
 +
<center>
 +
{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=1uRaNnRo9CI&feature=youtu.be|500|}}
 +
</center>
 +
 
 +
== Knowledge Graphs (KG) for Applications ==
 +
 
 +
=== Healthcare KG ===
 +
Leaders: [http://knoesis.org/researchers/saeedeh/ Dr. Saeedeh Shekarpour], [http://wiki.knoesis.org/index.php/AmelieGyrard Dr. Amelie Gyrard]
 +
 
 +
<center>
 +
{{#widget:SlideShare|id=118908850&doc=personalizedhealthknowledgegraph-ckgworkshop-iswc20182-181009191259|width=500|border=0}}
 +
</center>
 +
 
 +
=== Internet of Things (IoT) KG ===
 +
Leader: [http://wiki.knoesis.org/index.php/AmelieGyrard Dr. Amelie Gyrard]
 +
 
 +
<center>
 +
{{#widget:SlideShare|id=123120441&doc=copyofiot-181115182215|width=500|border=0}}
 +
</center>
 +
 
 +
 
 +
<Strong>[http://lov4iot.appspot.com/ Linked Open Vocabularies for Internet of Things (LOV4IoT)]</Strong>, an ontology catalog for Internet of Things, references ontology-based IoT projects:<br/>
 +
- Almost 500 ontology-based projects for IoT, smart cities, etc. <br/>
 +
- More than 20 domains relevant to IoT referenced such as building, smart grid, smart agriculture, robotics, smart transportation, healthcare, etc. <br/>
 +
- We provide the LOV4IoT ontology catalog as an HTML view. <br/>
 +
- We also provide the LOV4IoT RDF dataset. <br/>
 +
LOV4IoT is an extension of the LOV (Linked Open Vocabulary) catalog. <br/>
 +
* <Strong>Project Demonstrator</Strong>: [http://lov4iot.appspot.com/ Linked Open Vocabularies for Internet of Things (LOV4IoT)]
 +
* <Strong>LOV4IoT refering almost 400 ontology based IoT projects</Strong>: [http://lov4iot.appspot.com/?p=ontologies http://lov4iot.appspot.com/?p=ontologies]
 +
* <Strong>LOV4IoT RDF Dataset</Strong>: [http://purl.org/lov4iot-dataset http://purl.org/lov4iot-dataset]
 +
* <Strong>Publications</Strong>: [http://lov4iot.appspot.com/?p=publication Here]
 +
* <Strong>Presentation</Strong>:
 +
<center>
 +
{{#widget:SlideShare|id=65309629&doc=ficloud2016presentationgyrardlov4iotsecondlife-160824090311|width=500|border=0}}
 +
{{#widget:SlideShare|id=65309859&doc=ficloud2016presentationgyrardlov4iotunifyingknowledge-160824091023|width=500|border=0}}
 +
</center>
 +
* <Strong>Demo</Strong>:
 +
{{#ev:youtube|https://www.youtube.com/watch?v=a1zsdkzE_oY&feature=youtu.be|500|center}}
 +
<br/>
 +
 
 +
 
 +
 
 +
[http://wiki.knoesis.org/index.php/KE4WoTChallengeWWW2018 Knowledge Extraction for the Web of Things (KE4WoT) Challenge] co-located with The Web Conference 2018 (WWW 2018)
 +
 
 +
=== Disaster Management KG ===
 +
Leader: [http://knoesis.org/resources/researchers/hussein/ Hussein Al-Olimat], Shruti Kar
 +
 
 +
NSF Project: [http://wiki.knoesis.org/index.php?title=Social_and_Physical_Sensing_Enabled_Decision_Support&redirect=no Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response]
 +
 
 +
[http://lov4iot.appspot.com/?p=lov4iot-disaster LOV4IoT-Disaster]
 +
 
 +
Some publications:
 +
# Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, and Srinivasan Parthasarathy. [http://knoesis.org/node/2915 "D-record: Disaster Response and Relief Coordination Pipeline"]. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). ACM, 2018.
 +
 
 +
=== Security KG ===
 +
Security Toolbox: Attacks and Countermeasures (STAC)
 +
is a project to assist developers in:
 +
1) Designing secured applications or architectures.
 +
2) Being aware of main security threats.
 +
3) Exploring security in various technologies such as: Sensor Networks, Cellular Networks (2G, 3G, 4G), Wireless Networks (Wi-Fi, Wimax, Zigbee, Bluetooth), Mesh/M2M/MANET, Network Management, Web Applications, Cryptography, Attacks & Countermeasures, Security Properties (e.g., authentication, integrity), Etc.
 +
 
 +
* <Strong>Project Demonstrator</Strong>: [http://securitytoolbox.appspot.com/ Security Toolbox: Attacks and Countermeasures (STAC) ]
 +
* <Strong>Presentation</Strong>:
 +
<center>
 +
{{#widget:SlideShare|id=141841124&doc=keynote-wfiot2019-datagraphontologiesinternetofthingsiotcyber-physicial-systemscps-monday15april1-190424003458|width=500|border=0}}
 +
</center>
 +
* <Strong>Demo</Strong>:
 +
{{#ev:youtube|https://www.youtube.com/watch?v=vXYYbwM0xvY&feature=youtu.be|500|center}}
 +
<br/>
 +
 
 +
=== Robotics KG ===
 +
Leader: [http://wiki.knoesis.org/index.php/AmelieGyrard Dr. Amelie Gyrard]
 +
 
 +
<center>
 +
{{#widget:SlideShare|id=157318770&doc=july182019weeklyontologiesfortheinternetofroboticthingsontologycatalogknowledgeextractionieeep1872-190723173028|width=500|border=0}}
 +
</center>
 +
 
 +
=== Affective Science (Well-Being and Happiness) KG ===
 +
Leader: [http://wiki.knoesis.org/index.php/AmelieGyrard Dr. Amelie Gyrard]
 +
 
 +
<center>
 +
{{#widget:SlideShare|id=179792888&doc=slideschase2019-connectedhealthconference-thursday26september2019-iamhappytowardsaniotknowledge-base-191007160923|width=500|border=0}}
 +
</center>
 +
 
 +
Scientific paper: [http://knoesis.org/sites/default/files/CHASE_2019_Well_being_IoT_Cross_Domain_Recommender_System_for_Everyday_Happiness_Emotion_Stress_Depression_Ontologies.pdf IAMHAPPY: Towards An IoT Knowledge-Based Cross-Domain Well-Being Recommendation System for Everyday Happiness. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Conference 2019. Elsevier Smart Health Journal]
 +
 
 +
== Teaching: Advanced Topics in Semantic Web ==
 +
 
 +
Some slides related to KG:
 +
 
 +
* '''Knowlege Graphs (KG)''' - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 11 September 2018
 +
<center>
 +
{{#widget:SlideShare|id=113951043&doc=class5knowledgegraphsparti-advancedtopicsinsemanticwebcs782001-180911195013]|width=500|border=0}}
 +
</center>
 +
 
 +
* '''Contextualized Knowlege Graphs from two perspectives Semantic Web and Graph Database with an application in PubChem''' - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Vinh Nguyen, 25 October 2018
 +
<center>
 +
{{#widget:SlideShare|id=120729333&doc=ckgoct25kno-181025192442|width=500|border=0}}
 +
</center>
 +
 
 +
* '''Health Knowlege Graphs (KG)''' - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 2 October 2018
 +
<center>
 +
{{#widget:SlideShare|id=117859661&doc=classhealthknowledgegraphs-advancedtopicsinsemanticwebcs7820011-181002213052]|width=500|border=0}}
 +
</center>
 +
 
 +
* '''Linked Open Data (LOD)''' - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 2 October 2018
 +
<center>
 +
{{#widget:SlideShare|id=113237603&doc=classlod-advancedtopicsinsemanticwebcs7820017-180906193120]|width=500|border=0}}
 +
</center>
 +
 
 +
== Event Organisation or PC members ==
 +
=== Contextualized Knowledge Graphs (CKG) Workshop at ISWC 2018===
 +
[http://wiki.knoesis.org/index.php/CKG2018 Contextualized Knowledge Graphs (CKG) Workshop] co-located with International Semantic Web Conference (ISWC 2018)  
 +
 
 +
=== Tutorial at CIKM2018===
 +
[http://sumitbhatia.net/Knowledge Graphs: In Theory and Practice] co-located with 26th ACM International Conference on Information and Knowledge Management (CIKM)
 +
 
 +
[https://www.researchgate.net/publication/322901467_Knowledge_Graphs_In_Theory_and_Practice Publication]
 +
 
 +
=== Knowledge Extraction for the Web of Things (KE4WoT) Challenge at WWW 2018===
 +
[http://wiki.knoesis.org/index.php/KE4WoTChallengeWWW2018 Knowledge Extraction for the Web of Things (KE4WoT) Challenge] co-located with The Web Conference 2018 (WWW 2018)
 +
 
 +
=== PC members for KG events ===
 +
* [http://datainnovation.soic.indiana.edu:8080/www2019_kgta/index.html Knowledge Graph Technology and Applications Workshop (KGTA 2019)] co-located with The Web Conference (WWW 2019) - WWW is an A conference
 +
* [https://2018.eswc-conferences.org/call-phd-symposium/ Extended Semantic Web Conference (ESWC) PhD Track 2018]
 +
* [https://2018.eswc-conferences.org/resources-track/ Extended Semantic Web Conference (ESWC) Resource Track 2018]
 +
* [http://www.aiccsa.net/AICCSA2018/home ACS/IEEE International Conference on Computer Systems and Applications (AICCSA) 2018], Track Advances in Knowledge Engineering
 +
* International Semantic Web Conference (ISWC) 2017-2018, Resources track
 +
* International Semantic Web Conference (ISWC) 2018, PhD Track (Sub-reviewer)
  
 
== Talks ==
 
== Talks ==
−
* Talk at [http://ontologforum.org/index.php/ Ontology Forum]: Semantic Web foundation on representing, reasoning and traversing Contextual Knowledge Graphs - Vinh Nguyen, 28 March 2018
+
* Talk at [http://ontologforum.org/index.php/ Ontolog Community]: CKG Portal: A knowledge publishing proposal for open knowledge network - Vinh Nguyen, 28 March 2018
 
<center>
 
<center>
 
{{#widget:SlideShare|id=92173755&doc=ckg-portal-vinh-nguyen-ontology-summit-2018-180328120703|width=500|border=0}}
 
{{#widget:SlideShare|id=92173755&doc=ckg-portal-vinh-nguyen-ontology-summit-2018-180328120703|width=500|border=0}}
 
</center>
 
</center>
  
−
* Talk at [http://ontologforum.org/index.php/ Ontology Forum]: Evolving Open Health Knowledge Network - Amit Sheth, 28 March 2018
+
* Talk at [http://ontologforum.org/index.php/ Ontolog Community]: Evolving Open Health Knowledge Network - Amit Sheth, 28 March 2018
 +
<center>
 +
{{#widget:SlideShare|id=92222054&doc=evolvingopenhealthknowledgenetwork-180328195716|width=500|border=0}}
 +
</center>
 +
 
 +
 
  
 
== Publications ==
 
== Publications ==
−
* A. Sheth, S. Perera, S. Wijeratne, and K. Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany. ISBN: 978-1-4503-4951-2/17/08.
+
*Swati Padhee, Sarasi Lalithsena and Amit Sheth. [http://knoesis.org/sites/default/files/Swati_Padhee_ISWS_2018_Poster.pdf "Creating Real-Time Dynamic Knowledge Graphs"].International Semantic Web Research School (ISWS) 2018, Bertinoro, Italy;2018
 +
* A. Sheth, S. Perera, S. Wijeratne, and K. Thirunarayan. [http://knoesis.org/sites/default/files/knowledge-propel-machine-to-upload.pdf Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples]. Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany. ISBN: 978-1-4503-4951-2/17/08.
  
−
* Vinh Nguyen, Olivier Bodenreider, and Amit Sheth. "Don't like RDF reification?: making statements about statements using singleton property." Proceedings of the 23rd international conference on World wide web. ACM, 2014.
+
* Vinh Nguyen, Olivier Bodenreider, and Amit Sheth. [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4350149/ Don't like RDF reification?: making statements about statements using singleton property]. Proceedings of the 23rd international conference on World wide web. ACM, 2014.
  
−
* Gunaratna, K., Thirunarayan, K., & Sheth, A. P. (2015, January). FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering. In AAAI (pp. 116-122).
+
* Gunaratna, K., Thirunarayan, K., & Sheth, A. P. (2015, January). [https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/viewFile/9562/9233 FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering]. In AAAI (pp. 116-122).
  
−
* Gunaratna, K., Thirunarayan, K., Sheth, A., & Cheng, G. (2016, May). Gleaning types for literals in rdf triples with application to entity summarization. In International Semantic Web Conference (pp. 85-100). Springer, Cham.
+
* Gunaratna, K., Thirunarayan, K., Sheth, A., & Cheng, G. (2016, May). [http://knoesis.org/sites/default/files/Kalpa%20ESWC%202016_0.pdf Gleaning types for literals in rdf triples with application to entity summarization]. In International Semantic Web Conference (pp. 85-100). Springer, Cham.
  
−
* Gunaratna, Kalpa, et al. "Relatedness-based multi-entity summarization." IJCAI: proceedings of the conference. Vol. 2017. NIH Public Access, 2017.
+
* Gunaratna, Kalpa, et al. [https://www.ijcai.org/proceedings/2017/147 Relatedness-based multi-entity summarization]. IJCAI: proceedings of the conference. Vol. 2017. NIH Public Access, 2017.
  
−
* Shekarpour, S., Marx, E., Auer, S. & Sheth, A. (2017). RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. 31st AAAI Conference on Artificial Intelligence, San Francisco, California.
+
* Shekarpour, S., Marx, E., Auer, S. & Sheth, A. (2017). [http://knoesis.org/sites/default/files/RQUERY.pdf RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem]. 31st AAAI Conference on Artificial Intelligence, San Francisco, California.
  
−
* Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
+
* Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. [http://ieeexplore.ieee.org/document/8257982/ Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case]. 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
  
−
* Sarasi Lalithsena, Pavan Kapanipathi and Amit Sheth. Harnessing relationships for domain-specific subgraph extraction: A recommendation use case. 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, 2016, pp. 706-715. doi: 10.1109/BigData.2016.7840663
+
* Sarasi Lalithsena, Pavan Kapanipathi and Amit Sheth. [http://knoesis.wright.edu/sites/default/files/SarasiIEEEBigData16.pdf Harnessing relationships for domain-specific subgraph extraction: A recommendation use case]. 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, 2016, pp. 706-715. doi: 10.1109/BigData.2016.7840663
  
−
* Amelie Gyrard, Martin Serrano, Ghislain Atemezing. Semantic Web Methodologies, Best Practices and Ontology Engineering Applied to Internet of Things. IEEE World Forum on Internet of Things (WF-IoT), Milan, Italy, December 14-16, 2015  
+
* Amelie Gyrard, Martin Serrano, Ghislain Atemezing. [http://ieeexplore.ieee.org/document/7389090/ Semantic Web Methodologies, Best Practices and Ontology Engineering Applied to Internet of Things]. IEEE World Forum on Internet of Things (WF-IoT), Milan, Italy, December 14-16, 2015  
  
−
* Amelie Gyrard, Soumya Kanti Datta Christian Bonnet. A survey and analysis of ontology-based software tools for semantic interoperability in IoT and WoT landscapes. IEEE 4th World Forum on Internet of Things (WF-IoT), 2018
+
* Amelie Gyrard, Soumya Kanti Datta Christian Bonnet. [http://www.eurecom.fr/fr/publication/5427/download/comsys-publi-5427.pdf A survey and analysis of ontology-based software tools for semantic interoperability in IoT and WoT landscapes]. IEEE 4th World Forum on Internet of Things (WF-IoT), 2018
  
−
* Amelie Gyrard, Ghislain Atemezing, Christian Bonnet, Karima Boudaoud and Martin Serrano. Reusing and Unifying Background Knowledge for Internet of Things with LOV4IoT. 4rd International Conference on Future Internet of Things and Cloud (FiCloud 2016), 22-24 August 2016, Vienna, Austria
+
* Amelie Gyrard, Ghislain Atemezing, Christian Bonnet, Karima Boudaoud and Martin Serrano. [http://ieeexplore.ieee.org/document/7575873/ Reusing and Unifying Background Knowledge for Internet of Things with LOV4IoT]. 4rd International Conference on Future Internet of Things and Cloud (FiCloud 2016), 22-24 August 2016, Vienna, Austria
  
−
* Amelie Gyrard, Christian Bonnet, Karima Boudaoud and Martin Serrano. LOV4IoT: A second life for ontology-based domain knowledge to build Semantic Web of Things applications. 4rd International Conference on Future Internet of Things and Cloud (FiCloud 2016), 22-24 August 2016, Vienna, Austria
+
* Amelie Gyrard, Christian Bonnet, Karima Boudaoud and Martin Serrano. [http://ieeexplore.ieee.org/document/7575872/ LOV4IoT: A second life for ontology-based domain knowledge to build Semantic Web of Things applications]. 4rd International Conference on Future Internet of Things and Cloud (FiCloud 2016), 22-24 August 2016, Vienna, Austria
 +
 
 +
* Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth and Saeedeh Shekarpour. [http://knoesis.org/node/2910 Personalized Health Knowledge Graph]. 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC), 8-12 October 2018, Monterey, USA.
 +
 
 +
=== PhD Thesis ===
 +
See above links for slides and videos as well:
 +
 
 +
* PhD Thesis: [https://etd.ohiolink.edu/!etd.send_file?accession=wright1527202092744638&disposition=inline Domain-specific Knowledge Extraction from the Web of Data] [Sarasi Lalithsena March 2018]
 +
 
 +
* PhD Thesis: [http://www.knoesis.org/sites/default/files/VinhNguyen_dissertation.pdf Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs] [Vinh Nguyen 2017]
  
 
== Projects or Tools ==
 
== Projects or Tools ==
 
* Contextualized Knowledge Graph (CKG) community
 
* Contextualized Knowledge Graph (CKG) community
−
Online community discussion forum ckg-community@googlegroups.com
+
Online community discussion forum ckg-community@googlegroups.com, [https://groups.google.com/forum/#!forum/ckg-community/join https://groups.google.com/forum/#!forum/ckg-community/join]
 
* [http://lov4iot.appspot.com/ LOV4IoT project]: Ontology catalog for the Internet of Things which comprises an extension for healthcare.  
 
* [http://lov4iot.appspot.com/ LOV4IoT project]: Ontology catalog for the Internet of Things which comprises an extension for healthcare.  
 
* [http://perfectsemanticweb.appspot.com/ PerfectO project]: Ontology quality and best practices
 
* [http://perfectsemanticweb.appspot.com/ PerfectO project]: Ontology quality and best practices
Line 61: Line 262:
 
'''Faculty''':
 
'''Faculty''':
 
* [http://knoesis.wright.edu/amit Dr. Amit P. Sheth] (Kno.e.sis, Wright State University)  
 
* [http://knoesis.wright.edu/amit Dr. Amit P. Sheth] (Kno.e.sis, Wright State University)  
 +
* [http://knoesis.wright.edu/tkprasad/index.html Dr. Krishnaprasad Thirunarayan] (Kno.e.sis, Wright State University)
  
 
'''External Collaboration''':
 
'''External Collaboration''':
−
* [http://knoesis.org/researchers/saeedeh/ Dr. Saeedeh Shekarpour] (University of Dayton)  
+
* [http://knoesis.org/researchers/saeedeh/ Dr. Saeedeh Shekarpour] (University of Dayton, Former Postdoc @ Kno.e.sis)  
  
 
'''Post-doc''':
 
'''Post-doc''':
Line 69: Line 271:
  
 
'''Graduate Students''':  
 
'''Graduate Students''':  
−
* [http://knoesis.org/people/sarasi/ Sarasi Lalithsena] (Kno.e.sis, Wright State University)
 
 
* [http://knoesis.org/people/manas/ Manas Gaur] (Kno.e.sis, Wright State University)  
 
* [http://knoesis.org/people/manas/ Manas Gaur] (Kno.e.sis, Wright State University)  
 
* [http://knoesis.org/resources/researchers/swati/ Swati Padhee] (Kno.e.sis, Wright State University)  
 
* [http://knoesis.org/resources/researchers/swati/ Swati Padhee] (Kno.e.sis, Wright State University)  
Line 75: Line 276:
  
 
'''Alumni''':
 
'''Alumni''':
−
* [http://knoesis.wright.edu/researchers/kalpa/ Kalpa Gunaratne] (Samsung)  
+
* [http://www.knoesis.org/aboutus/thesis_defense#gunaratna Kalpa Gunaratne] (Samsung, Former PhD at Kno.e.sis)  
−
* [http://knoesis.wright.edu/researchers/vinh/ Vinh Nguyen] (National Library of Medicine)
+
* [http://www.knoesis.org/aboutus/thesis_defense#vinh Vinh Nguyen] (National Library of Medicine, Former PhD at Kno.e.sis)
 +
* [http://knoesis.org/people/sarasi/ Sarasi Lalithsena] (Former PhD at Kno.e.sis)
 +
 
 +
== References ==
 +
* [http://knowledgegraph.info/ Tutorial Getting started with knowledge graphs]
 +
* [https://pdfs.semanticscholar.org/e602/f9a4b8e9828de88e30a0c5b73ebbb0723d9c.pdf Knowledge Graph Refinement:A Survey of Approaches and Evaluation Methods] Paulheim et al. 2016
 +
* [https://link.springer.com/chapter/10.1007/978-3-319-69182-4_16 Constructing Knowledge Graphs of Depression] Huang et al. 2017
 +
* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572519/ Development and Evaluation of an Obesity Ontology for Social Big Data Analysis] Kim et al. 2017
 +
* [https://iswc2017.semanticweb.org/program/keynotes/keynote-taylor/ Jamie Taylor's Keynote at ISWC 2017]. He manages the Schema Team for Google’s Knowledge Graph.
 +
* [http://delivery.acm.org/10.1145/3190000/3186727/a62-liu.pdf?ip=130.108.104.15&id=3186727&acc=ACTIVE%20SERVICE&key=1D8E1CA5B8D7D8DD%2E1582E3CD7560B369%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1560523974_34239d1fa2b21861505466b5ddd89bfa Graph Summarization Methods and Applications: A Survey] Liu et al. 2018 ACM Computing Surveys
 +
* [https://aic.ai.wu.ac.at/~polleres/publications/bona-etal-DagstuhlReport18371.pdf Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371)] Bonatti et al. 2019
 +
* Google Knowledge Graph:
 +
<center>
 +
{{#ev:youtube|https://www.youtube.com/watch?v=mmQl6VGvX-c|500|}}
 +
</center>

Latest revision as of 15:11, 7 November 2019

Knoesis Knowledge Graph Platform (KKGP), Personalized Health Knowledge Graph (PHKG)

Description

In recent years, knowledge graphs (KGs) have been increasingly used by both academia and industry to incorporate semantics into various intelligent applications. However, the creation of these knowledge graphs are mainly done manually with the help of domain experts and/or by using structured knowledge sources such as Wikipedia. Kno.e.sis Knowledge Graph team works on different aspects to improve creation and consumption of knowledge graphs as given below:

  • Contextualized knowledge graphs
  • Bootstrap domain-specific knowledge graphs by leveraging existing knowledge sources
  • Summarization of the knowledge graphs
  • Leveraging knowledge graphs to improve NLP applications
  • Dynamically evolve knowledge graphs for real-time events such as twitter campaigns
  • Question answering on knowledge graphs
  • Ontology quality and best practices
  • Ontology methodology to reuse ontologies
  • Ontology alignment
  • Knowledge extraction from ontologies to reuse the domain knowledge already designed in previous domains.
  • Semantic interoperability with a focus on ontologies
CKG.png

Introduction to Knowledge Graphs (KG)

The latest version can be seen here, and you can easily contribute to this Mindmap :)

Knowledge Graphs are extensively used (Screenshot June 2019)

Using Knowledge Graphs (KG) for information processing

Knowledge Extraction

Knowledge Extraction from ontologies

Automatic Knowledge Extraction to build Semantic Web of Things Applications

  • Mahda Noura, Amelie Gyrard, Sebastian Heil, Martin Gaedke.
  • IEEE Internet of Things (IoT) Journal 2019.
  • Impact factor: 5.863 in 2019

Concept Extraction from Web of Things Knowledge Bases

  • Mahda Noura, Amelie Gyrard, Sebastian Heil, and Martin Gaedke.
  • International Conference WWW/Internet, 2018
  • Outstanding Paper Award

Knowledge Extraction for the Web of Things (KE4WoT) Challenge

  • Co-located with International World Wide Web Conference (WWW) 2018
  • Amelie Gyrard, Mihaela Juganaru-Mathieu, Manas Gaur, Swati Padhee, Amit Sheth

Knowledge Graph Summarization

Contextualized Knowledge Graphs

Vinh Nguyen PhD Slides:

Vinh Nguyen PhD Video:

Knowledge Graphs (KG) for Applications

Healthcare KG

Leaders: Dr. Saeedeh Shekarpour, Dr. Amelie Gyrard

Internet of Things (IoT) KG

Leader: Dr. Amelie Gyrard


Linked Open Vocabularies for Internet of Things (LOV4IoT), an ontology catalog for Internet of Things, references ontology-based IoT projects:
- Almost 500 ontology-based projects for IoT, smart cities, etc.
- More than 20 domains relevant to IoT referenced such as building, smart grid, smart agriculture, robotics, smart transportation, healthcare, etc.
- We provide the LOV4IoT ontology catalog as an HTML view.
- We also provide the LOV4IoT RDF dataset.
LOV4IoT is an extension of the LOV (Linked Open Vocabulary) catalog.

  • Demo:



Knowledge Extraction for the Web of Things (KE4WoT) Challenge co-located with The Web Conference 2018 (WWW 2018)

Disaster Management KG

Leader: Hussein Al-Olimat, Shruti Kar

NSF Project: Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response

LOV4IoT-Disaster

Some publications:

  1. Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, and Srinivasan Parthasarathy. "D-record: Disaster Response and Relief Coordination Pipeline". In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). ACM, 2018.

Security KG

Security Toolbox: Attacks and Countermeasures (STAC) is a project to assist developers in: 1) Designing secured applications or architectures. 2) Being aware of main security threats. 3) Exploring security in various technologies such as: Sensor Networks, Cellular Networks (2G, 3G, 4G), Wireless Networks (Wi-Fi, Wimax, Zigbee, Bluetooth), Mesh/M2M/MANET, Network Management, Web Applications, Cryptography, Attacks & Countermeasures, Security Properties (e.g., authentication, integrity), Etc.

  • Demo:


Robotics KG

Leader: Dr. Amelie Gyrard

Affective Science (Well-Being and Happiness) KG

Leader: Dr. Amelie Gyrard

Scientific paper: IAMHAPPY: Towards An IoT Knowledge-Based Cross-Domain Well-Being Recommendation System for Everyday Happiness. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Conference 2019. Elsevier Smart Health Journal

Teaching: Advanced Topics in Semantic Web

Some slides related to KG:

  • Knowlege Graphs (KG) - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 11 September 2018

  • Contextualized Knowlege Graphs from two perspectives Semantic Web and Graph Database with an application in PubChem - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Vinh Nguyen, 25 October 2018

  • Health Knowlege Graphs (KG) - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 2 October 2018

  • Linked Open Data (LOD) - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 2 October 2018

Event Organisation or PC members

Contextualized Knowledge Graphs (CKG) Workshop at ISWC 2018

Contextualized Knowledge Graphs (CKG) Workshop co-located with International Semantic Web Conference (ISWC 2018)

Tutorial at CIKM2018

Graphs: In Theory and Practice co-located with 26th ACM International Conference on Information and Knowledge Management (CIKM)

Publication

Knowledge Extraction for the Web of Things (KE4WoT) Challenge at WWW 2018

Knowledge Extraction for the Web of Things (KE4WoT) Challenge co-located with The Web Conference 2018 (WWW 2018)

PC members for KG events

Talks

  • Talk at Ontolog Community: CKG Portal: A knowledge publishing proposal for open knowledge network - Vinh Nguyen, 28 March 2018

  • Talk at Ontolog Community: Evolving Open Health Knowledge Network - Amit Sheth, 28 March 2018


Publications

  • Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth and Saeedeh Shekarpour. Personalized Health Knowledge Graph. 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC), 8-12 October 2018, Monterey, USA.

PhD Thesis

See above links for slides and videos as well:

Projects or Tools

  • Contextualized Knowledge Graph (CKG) community

Online community discussion forum ckg-community@googlegroups.com, https://groups.google.com/forum/#!forum/ckg-community/join

  • LOV4IoT project: Ontology catalog for the Internet of Things which comprises an extension for healthcare.
  • PerfectO project: Ontology quality and best practices

Team

Faculty:

External Collaboration:

Post-doc:

Graduate Students:

Alumni:

References

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